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Research Article | Open Access |

New Approach for the Detection of Family of Geometric Shapes in the Islamic Geometric Patterns

Author 1: Ait Lahcen Yassine Author 2: Jali Abdelaziz Author 3: El Oirrak Ahmed Author 4: Abdelmalek. Thalal Author 5: Youssef. Aboufadil Author 6: M. A. Elidrissi R
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 3 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110343

Abstract

This article proposes a new approach to detect the family of geometric shapes in Islamic geometric patterns. This type of geometric pattern which is constructed by tracing the grids with the respect of precise measurement criteria and the concept of symmetry of a method which is called ‘Hasba’. This geometric pattern generally found in the tiles which cover the floors or walls of many buildings around the Islamic world such as mosques. this article describe a new method which is based on the calculation of the Euclidean distance between the different geometric shapes which constitute the geometric Islamic pattern, in order to detect similar regions in this type of geometric pattern encountered in Islamic art.

Keywords

How to Cite this Article

Yassine, A. L., Abdelaziz, J., Ahmed, E. O., Thalal, A., Aboufadil, Y., & R, M. A. E. (2020). New Approach for the Detection of Family of Geometric Shapes in the Islamic Geometric Patterns. International Journal of Advanced Computer Science and Applications, 11(3). https://doi.org/10.14569/IJACSA.2020.0110343

Yassine, Ait Lahcen, et al.. "New Approach for the Detection of Family of Geometric Shapes in the Islamic Geometric Patterns." International Journal of Advanced Computer Science and Applications, vol. 11, no. 3, 2020, https://doi.org/10.14569/IJACSA.2020.0110343.

@article{Yassine2020,
  title     = {New Approach for the Detection of Family of Geometric Shapes in the Islamic Geometric Patterns},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {3},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Ait Lahcen Yassine and Jali Abdelaziz and El Oirrak Ahmed and Abdelmalek. Thalal and Youssef. Aboufadil and M. A. Elidrissi R},
  doi       = {10.14569/IJACSA.2020.0110343},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110343}
}

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